A Historical Relational Data Model for Managing Temporal Data
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Citation: Amar K. Das and Samson W. Tu and Mark A. Musen. (1992) A Historical Relational Data Model for Managing Temporal Data. In , 1992.
| Publication techreport ( Edit ) | |
| type | Technical Report |
| bibtype | techreport |
| Bibtex basics | |
| author | Amar K. Das and Samson W. Tu and Mark A. Musen |
| title | A Historical Relational Data Model for Managing Temporal Data |
| number | KSL-91-77 |
| institution | Knowledge Systems, AI Laboratory |
| address | San Diego, CA |
| year | 1992 |
| Bibtex more | |
| note | Updated June 1993. |
| Access Paper | |
| abstract | In this paper, we develop a historical relational data model by extending the standard relational data model with operations on temporal data. The historical relational data model uses the time point as the basis for representing both events and states. We store an event occurrence as an interval bounded by lower and upper time points, and we store a state as an interval bounded by start and stop events. The data model thus provides interval stamping of tuples in the relations for both events and states. We develop a set of temporal operations on time points and intervals as the basis for understanding a proper relational algebra for historical relations. We also show how the operators in the historical relational algebra are used to execute an extended SQL for the historical relational database. |
| KSL Technical Report ID: KSL-91-77 |
Facts about A Historical Relational Data Model for Managing Temporal DataRDF feed
| Abstract | In this paper, we develop a historical rel … In this paper, we develop a historical relational data model by extending the standard relational data model with operations on temporal data. The historical relational data model uses the time point as the basis for representing both events and states. We store an event occurrence as an interval bounded by lower and upper time points, and we store a state as an interval bounded by start and stop events. The data model thus provides interval stamping of tuples in the relations for both events and states. We develop a set of temporal operations on time points and intervals as the basis for understanding a proper relational algebra for historical relations. We also show how the operators in the historical relational algebra are used to execute an extended SQL for the historical relational database. QL for the historical relational database. |
| Address | San Diego, CA + |
| Author | Amar K. Das and Samson W. Tu and Mark A. Musen + |
| Bibtype | techreport + |
| Has author | Amar K. Das and Samson W. Tu and Mark A. Musen + |
| Has identifier | KSL-91-77 + |
| Has publishing details | 1992 + |
| Has title | A Historical Relational Data Model for Managing Temporal Data + |
| Has year | 1992 + |
| Institution | Knowledge Systems, AI Laboratory + |
| Ksl tr id | KSL-91-77 + |
| Note | Updated June 1993. + |
| Number | KSL-91-77 + |
| Process note | YES + |
| Title | A Historical Relational Data Model for Managing Temporal Data + |
| Year | 1992 + |
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